Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing-Tianjin-Hebei, China

被引:62
作者
Zhou, Chaofan [1 ,2 ,3 ,4 ]
Gong, Huili [1 ,2 ,3 ,4 ]
Chen, Beibei [2 ,3 ,4 ]
Gao, Mingliang [1 ,2 ,3 ,4 ]
Cao, Qun [2 ,3 ,4 ]
Cao, Jin [2 ,4 ]
Duan, Li [2 ,4 ]
Zuo, Junjie [4 ,5 ]
Shi, Min [2 ,3 ]
机构
[1] Capital Normal Univ, Beijing Adv Innovat Ctr Imaging Technol, Beijing 100048, Peoples R China
[2] Capital Normal Univ, Key Lab Mech Prevent & Mitigat Land Subsidence, MOE, Beijing 100048, Peoples R China
[3] Capital Normal Univ, Base State Key Lab Urban Environm Proc & Digital, Beijing 100048, Peoples R China
[4] Capital Normal Univ, Beijing Lab Water Resources Secur, Beijing 100048, Peoples R China
[5] Capital Normal Univ, Key Lab 3D Informat Acquisit & Applicat, MOE, Beijing 100048, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
land subsidence; IPTA; land-use; water resource utilization; groundwater change; TIME-SERIES ANALYSIS; GROUNDWATER DEPLETION; PERMANENT SCATTERERS; AQUIFER SYSTEM; DECADES; PLAIN; INSAR; COMPACTION; RAVENNA; VALLEY;
D O I
10.3390/rs12030457
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The long-term overexploitation of groundwater leads to serious land subsidence and threatens the safety of Beijing-Tianjin-Hebei (BTH). In this paper, an interferometric point target analysis (IPTA) with small baseline subset InSAR (SBAS-InSAR) technique was used to derive the land subsidence in a typical BTH area from 2012 to 2018 with 126 Radarsat-2 and 184 Sentinel-1 images. The analysis reveals that the average subsidence rate reached 118 mm/year from 2012 to 2018. Eleven subsidence features were identified: Shangzhuang, Beijing Airport, Jinzhan and Heizhuanghu in Beijing, Guangyang and Shengfang in Langfang, Wangqingtuo in Tianjin, Dongguang in Cangzhou, Jingxian and Zaoqiang in Hengshui and Julu in Xingtai. Comparing the different types of land use in subsidence feature areas, the results show that when the land-use type is relatively more complex and superimposed with residential, industrial and agricultural land, the land subsidence is relatively more significant. Moreover, the land subsidence development patterns are different in the BTH areas because of the different methods adopted for their water resource development and utilization, with an imbalance in their economic development levels. Finally, we found that the subsidence changes are consistent with groundwater level changes and there is a lag period between land subsidence and groundwater level changes of approximately two months in Beijing Airport, Jinzhan, Jingxian and Zaoqiang, of three months in Shangzhuang, Heizhuanghu, Guangyang, Wangqingtuo and Dongguang and of four months in Shengfang.
引用
收藏
页数:22
相关论文
共 58 条
[1]   Spatiotemporal Characterization of Land Subsidence and Uplift (2009-2010) over Wuhan in Central China Revealed by TerraSAR-X InSAR Analysis [J].
Bai, Lin ;
Jiang, Liming ;
Wang, Hansheng ;
Sun, Qishi .
REMOTE SENSING, 2016, 8 (04)
[2]   A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms [J].
Berardino, P ;
Fornaro, G ;
Lanari, R ;
Sansosti, E .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (11) :2375-2383
[3]   Use of flow modeling to assess sustainability of groundwater resources in the North China Plain [J].
Cao, Guoliang ;
Zheng, Chunmiao ;
Scanlon, Bridget R. ;
Liu, Jie ;
Li, Wenpeng .
WATER RESOURCES RESEARCH, 2013, 49 (01) :159-175
[4]   Quantitative mapping of groundwater depletion at the water management scale using a combined GRACE/InSAR approach [J].
Castellazzi, Pascal ;
Longuevergne, Laurent ;
Martel, Richard ;
Rivera, Alfonso ;
Brouard, Charles ;
Chaussard, Estelle .
REMOTE SENSING OF ENVIRONMENT, 2018, 205 :408-418
[5]   InSAR to support sustainable urbanization over compacting aquifers: The case of Toluca Valley, Mexico [J].
Castellazzi, Pascal ;
Garfias, Jaime ;
Martel, Richard ;
Brouard, Charles ;
Rivera, Alfonso .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 63 :33-44
[6]   Land subsidence in major cities of Central Mexico: Interpreting InSAR-derived land subsidence mapping with hydrogeological data [J].
Castellazzi, Pascal ;
Arroyo-Dominguez, Norma ;
Martel, Richard ;
Calderhead, Angus I. ;
Normand, Jonathan C. L. ;
Garfias, Jaime ;
Rivera, Alfonso .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 47 :102-111
[7]   Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China [J].
Chen, Beibei ;
Gong, Huili ;
Lei, Kunchao ;
Li, Jiwei ;
Zhou, Chaofan ;
Gao, Mingliang ;
Guan, Hongliang ;
Lv, Wei .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 75 :54-67
[8]   Characterization and causes of land subsidence in Beijing, China [J].
Chen, Beibei ;
Gong, Huili ;
Li, Xiaojuan ;
Lei, Kunchao ;
Zhu, Lin ;
Gao, Mingliang ;
Zhou, Chaofan .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (03) :808-826
[9]   Detection of Land Subsidence Associated with Land Creation and Rapid Urbanization in the Chinese Loess Plateau Using Time Series InSAR: A Case Study of Lanzhou New District [J].
Chen, Guan ;
Zhang, Yi ;
Zeng, Runqiang ;
Yang, Zhongkang ;
Chen, Xi ;
Zhao, Fumeng ;
Meng, Xingmin .
REMOTE SENSING, 2018, 10 (02)
[10]   InSAR Time Series Analysis of Natural and Anthropogenic Coastal Plain Subsidence: The Case of Sibari (Southern Italy) [J].
Cianflone, Giuseppe ;
Tolomei, Cristiano ;
Brunori, Carlo Alberto ;
Dominici, Rocco .
REMOTE SENSING, 2015, 7 (12) :16004-16023